Raphaël A.
Data Scientist
830 dollar
My experience
Trax RetailMarch 2020 - Present
More
YOOBICApril 2019 - September 2019
Deep Learning for Image Recognition applied to the Retail field
Implemented solutions for one-shot learning, such as autoencoders, ensemble models (mainly Stacking).
Implemented solutions for one-shot learning, such as autoencoders, ensemble models (mainly Stacking).
More
UpdityOctober 2016 - January 2019
Updity, the collaborative 4G sharing app
Updity is an app letting you have secured and fast 4G everywhere. More informations on fb.me/updity.
• Whole development of the Application and the Server.
Development tools : Android - Java, iOS - Swift, Python - Django. Databases in PostGreSQL
Closed Beta launched.
• Start-up Contests : Talents Paris 2024 (certification label obtained), PEPITE contest.
• Pitchs skills : namely with LVMH (Ian Rogers) and in front of the City of Paris’ Panel (Talents Paris 2024)
• Involved in the Legal Study, in charge of Communication.
Updity is an app letting you have secured and fast 4G everywhere. More informations on fb.me/updity.
• Whole development of the Application and the Server.
Development tools : Android - Java, iOS - Swift, Python - Django. Databases in PostGreSQL
Closed Beta launched.
• Start-up Contests : Talents Paris 2024 (certification label obtained), PEPITE contest.
• Pitchs skills : namely with LVMH (Ian Rogers) and in front of the City of Paris’ Panel (Talents Paris 2024)
• Involved in the Legal Study, in charge of Communication.
More
Versatile NaturesJune 2018 - August 2018
Versatile Natures is a start-up offering efficiency and security improvements of cranes on construction sites, through machine learning technology.
A boarded sensors case enables the data gathering and the monitoring of the cranes.
Algorithm Development - Python, AWS DynamoDB
• Implemented a version of Gaussian mixture model capable of estimating the number of modes without external thresholds.
• Extraction of steady state signal segments from noisy data.
Data Analysis - Matlab, Python (Scikit-learn, tensorflow), MySQL, AWS
• Investigation of barometer altitude estimation and temperature variation coupling. Includes field-study on construction sites to collect missing data.
• Deep Learning on all the databases to predict the crank’s behaviour.
Software development - Django (Python)
• Developped the admin system - an administrative layer above the database
A boarded sensors case enables the data gathering and the monitoring of the cranes.
Algorithm Development - Python, AWS DynamoDB
• Implemented a version of Gaussian mixture model capable of estimating the number of modes without external thresholds.
• Extraction of steady state signal segments from noisy data.
Data Analysis - Matlab, Python (Scikit-learn, tensorflow), MySQL, AWS
• Investigation of barometer altitude estimation and temperature variation coupling. Includes field-study on construction sites to collect missing data.
• Deep Learning on all the databases to predict the crank’s behaviour.
Software development - Django (Python)
• Developped the admin system - an administrative layer above the database
More
KLESIAJuly 2017 - August 2017
1-month Application Internship.
Use of Excel and SAS company's softwares.
Use of Excel and SAS company's softwares.
My stack
Databases
PostGreSQL, MySQL, DynamoDB
IT Infrastructure
iOS
Mobile
Android
Machine Learning
Deep learning, Scikit-Learn, TensorFlow
Languages
Swift, Java, Python, SQL, R Language, C/C++, Matlab
Technologies
AWS, Machine Learning
Frameworks
Django
My education and trainings
Master 2 (M2), Data Science : Advanced Statistics, Machine Learning, Deep Learning - École Polytechnique2018 - 2019
Master, Data Science. Economy & Entrepreneurship - Telecom ParisTech2016 - 2019
Prepa MPSI / MP* - Lycée Charlemagne2014 - 2016
Baccalauréat S, Graduated with honors - Lycée Louis le Grand2011 - 2014
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